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# Env: 4 * A100
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# https://github.com/modelscope/ms-swift/blob/main/examples/megatron/long_text.sh
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# Max Length: 16K
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# GPU Memory: 4 * 42GB, Training Speed 10s/it
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NPROC_PER_NODE=4 \
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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swift sft \
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--model Qwen/Qwen2.5-7B \
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--tuner_type full \
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--dataset 'AI-ModelScope/LongAlpaca-12k' \
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--load_from_cache_file true \
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--split_dataset_ratio 0.01 \
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--torch_dtype bfloat16 \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 1 \
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--learning_rate 1e-5 \
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--gradient_accumulation_steps 2 \
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--packing true \
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--eval_steps 200 \
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--save_steps 200 \
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--logging_steps 5 \
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--max_length 16384 \
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--warmup_ratio 0.05 \
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--dataloader_num_workers 8 \
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--dataset_num_proc 8 \
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--save_total_limit 2 \
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--save_only_model true \
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--output_dir output/Qwen2.5-7B \
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--deepspeed zero3 \
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--use_liger_kernel true \
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--attn_impl flash_attn
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